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A Study on the Seasonal Effects of the Tourism Demand Forecasting Models
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 Title & Authors
A Study on the Seasonal Effects of the Tourism Demand Forecasting Models
Kim, Sahm; Lee, Ju-Hyoung;
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In this paper, we compared the performance of the several time series models for tourism demand forecasting. We showed that seasonal effects in the data(Japan, China, USA, and Philippines) exist in the tourism data and the forecasting accuracies are compared by the RMSE criterion.
Seasonal ARIMA model;VAR model;ECM model;tourism demand;
 Cited by
계절 ARIMA 모형을 활용한 농촌관광 수요예측에 관한 연구 -양평 외갓집 체험마을을 중심으로-,황경후;

농어촌관광연구, 2014. vol.21. 1, pp.39-54
A study on demand forecasting for Jeju-bound tourists by travel purpose using seasonal ARIMA-Intervention model, Journal of the Korean Data and Information Science Society, 2016, 27, 3, 725  crossref(new windwow)
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